code: def __init__(self, num_classes, **kwargs):
      super(InceptionAux, self).__init__(**kwargs)
      self.averagePool = layers.AvgPool2D(pool_size=5, strides=3)
      self.conv = layers.Conv2D(128, kernel_size=1, activation="relu")
  
      self.fc1 = layers.Dense(1024, activation="relu")
      self.fc2 = layers.Dense(num_classes)
      self.softmax = layers.Softmax()
  
file_path: deep-learning-for-image-processing/tensorflow_classification/Test4_goolenet/model.py
imports: from tensorflow.keras import layers, models, Model, Sequential
label_desc: Use image node_id 1 to create a new InceptionAux object from inherited base classes: layers with example: obj = InceptionAux(num_classes)